code: def generate_final_opinion_candidates_list(
      opinion_candidate_list_raw,
      final_opinion_candidates_list,
      frequency_threshold,
  ):
      """
      generate final opinion candidates list from raw opinion candidate list
      Args:
          opinion_candidate_list_raw (dict): key = term, value =
          lists of extracted terms.
          final_opinion_candidates_list (list): list of final opinion candidates
          frequency_threshold (int): minimum freq. for qualifying term
      """
      for candidate_list in opinion_candidate_list_raw.values():
          positive_pol = 0
          negative_pol = 0
          if len(candidate_list) >= frequency_threshold:
              for candidate in candidate_list:
                  pol = candidate.term_polarity
                  if pol is not None:
                      if pol == Polarity.POS:
                          positive_pol = positive_pol + 1
                      if pol == Polarity.NEG:
                          negative_pol = negative_pol + 1
  
              term_polarity = Polarity.UNK
              if positive_pol > negative_pol and positive_pol > 0:
                  term_polarity = Polarity.POS
              elif negative_pol >= positive_pol and negative_pol > 0:
                  term_polarity = Polarity.NEG
  
              term = candidate_list[0]
  
              qualified_term = QualifiedTerm(
                  term.term,
                  term.term,
                  term.pos,
                  len(candidate_list),
                  term_polarity,
              )
              final_opinion_candidates_list.append(qualified_term)
  
      return final_opinion_candidates_list
  
imports: import copy
  import re
  import sys
  from os import PathLike
  from tqdm import tqdm
  from nlp_architect.models.absa import TRAIN_LEXICONS, LEXICONS_OUT
  from nlp_architect.models.absa import GENERIC_OP_LEX
  from nlp_architect.models.absa.inference.data_types import Polarity
  from nlp_architect.models.absa.train.data_types import AspectTerm, DepRelation, DepRelationTerm, LoadOpinionStopLists, LoadAspectStopLists, OpinionTerm, QualifiedTerm
  from nlp_architect.models.absa.train.rules import rule_1, rule_2, rule_3, rule_4, rule_5, rule_6
  from nlp_architect.models.absa.utils import _load_parsed_docs_from_dir, _write_final_opinion_lex, _load_lex_as_list_from_csv, read_generic_lex_from_file
label_desc: Use image node_id 7 for calling a global function with example usage: generate_final_opinion_candidates_list(opinion_candidate_list_raw, final_opinion_candidates_list, frequency_threshold) and returns: final_opinion_candidates_list